Facial recognition software can help you create a streamlined employee attendance system that’s much more secure and easier to manage than the old-fashioned method of stamping tickets and keeping track with punch cards. In her foreword Dr. Neil Sahota (United Nations Artificial Intelligence Advisor), in the article
THE FUTURE OF FACIAL RECOGNITION AND ITS IMPACT ON MINORITIES:
What Policy Makers and Stakeholders Should Consider’ writes….. the advent of facial recognition technology allowed computers to track hundreds of people simultaneously, in real-time. What started as a solution to combat cheating and fraud evolved into a marketing tool as the casinos soon learned customers’ preferences in games and drinks…….facial recognition technology (FRT) has made a quantum leap forward and no longer requires comparison to a tagged image or a database of passport photos. Now, artificial intelligence (AI) technology can determine who a person is just from an unconnected image, video, or audio file by scouring the internet…As we see the proliferation of FRT, its foremost use case is attendance.
Do you have a strict attendance policy at your company? Or do you prefer to welcome employees as soon as they walk through the door? Facial recognition technology can bring both of these scenarios together. Here’s how this new technology can transform your company’s approach to employee attendance management, from now until the foreseeable future.
What is Facial Recognition Technology?
The term “face recognition” sounds impressive, but it’s not actually a very accurate way to describe the technology that’s at the heart of the modern attendance system. Facial recognition is the ability to identify or “detect” a specific person based on their facial features.
The software automates the process of establishing and managing talent policies, processes, and programs to deliver better results for both employers and employees. AIHRM makes it possible for businesses to conduct effective and informed hiring and onboarding processes, as well as manage candidate pre-screening and hiring processes.
What would be the Benefits of Using AIHRM?
Increased productivity – AIHRM makes it possible to manage a large number of assets, people, processes, and problems from a single platform. This makes it easier for managers to track and understand performance, identify areas for improvement, and plan for the future. It’s not the same as being able to identify someone by name, or being able to measure the distance between two points to get accurate GPS coordinates. A widely accepted definition of facial recognition as introduced to the U.S. Congress:
FACIAL RECOGNITION TECHNOLOGY: The term “facial recognition technology” means the automated or semiautomated process that assists in identifying or verifying an individual based on the characteristics of an individual’s face. As Indian Express reports, Facial recognition technology as the name suggests can identify a person by capturing his face from a photo or video. The technology can work in real-time as well and relies on advanced machine learning algorithms powered by deep neural networks to identify faces and map them to an existing database. In the article ‘Facial recognition technology in schools: critical questions and concerns Mark’ by And rejevic & Neil Selwyn writes that these systems tend to work by computationally analysing facial shapes and features in terms of the positioning and distancing between sets of geometric coordinates (for example, the centre of each pupil, the bridge of a nose, the ends of an eyebrow). Given the unique nature of every person’s ‘face-print’, when the geometric properties of a captured image are compared against a database of pre-existing personally identifiable images the system should be able to make a match with a specific individual.
Not all facial recognition software can recognize facial features with the same accuracy, so be sure to conduct a thorough trial before you make any final investment decisions. Facial recognition software can be used for a variety of purposes, but it’s most commonly used in the area of security. In this context, the software is typically used to help store footage or compare footage against a database of images in order to identify suspects. It’s also useful for tracking attendance and managing open doors.
Why is Facial Recognition so important to Employee Attendance Management?
Traditionally, businesses have tracked employee attendance using paper tickets, punch cards, and other outdated technologies. This approach came with its own drawbacks, including the risk of lost or stolen tickets, and the difficulty of tracking employee attendance in an automated way.
For example, you might have a system that uses a series of tickets to keep track of how many times an employee has come to work. But if they lose their ticket, they’re no longer able to enter their attendance. Facial recognition makes it much easier to track attendance and cut down on the risk of human error or data entry errors. That’s because the software can automatically detect who is coming in the building, and it can store the footage or images to help identify potential security threats, such as potential shoplifters.
What You Need to Know Before Implementing Machine Learning for Attendance Tracking
Let’s return to the scenario where you have a strict attendance policy and a strict policy on when employees can arrive to work. If you’re currently using paper tickets or punch cards, it can be a huge challenge to track and manage this kind of attendance. But facial recognition technology can make it much simpler. You can set up a system that uses facial recognition to detect when employees walk in the door. They aren’t able to enter the building without the tag, and once they’ve placed it on their shoulder, you can start logging their attendance.
Because facial recognition technology can identify individual people, you can be certain that you’re recording accurate attendance. You can also use the software to monitor how often employees are coming and going, and you can create a system that keeps track of their time using time-tracking features.
A Final Word
The future of attendance management looks pretty bright. Facial recognition technology is becoming more and more accessible, and it’s becoming easier to integrate into existing business systems.That means that you can start integrating it into your existing employee attendance management practices, or you can start from scratch and create a new system from the ground up. The possibilities are endless.
Facial recognition is changing the way we think about security and how we track employee attendance in the workplace. But it’s not just security applications that are leveraging the power of facial recognition. Many companies are turning to face recognition to simplify their attendance management processes. Facial recognition technology can help you manage your company’s attendance in a more secure and efficient way.